NVIDIA TESLA K20 (900-22081-2220-000) GK110 5GB 320-bit GDDR5 PCI Express 2.0 x16 Workstation Video Card - OEM

NVIDIA TESLA K20 (900-22081-2220-000) GK110 5GB 320-bit GDDR5 PCI Express 2.0 x16 3.52 Tflops Workstation Video Card - OEM

CUDA 2496
GK110
5GB GDDR5

NVIDIA Tesla K-series GPU Accelerators are based on the NVIDIA Kepler compute architecture and powered by CUDA - the world’s most pervasive parallel computing model. The innovative Kepler compute architecture design includes innovative technologies like Dynamic parallelism and Hyper-Q for boosted computing performance, higher power efficiency and record application speeds. The Tesla K20 GPU Accelerator is designed to be the performance leader in double precision applications and broader supercomputing market with up to 1.17 teraflops peak double precision performance. Try the NVIDIA Tesla K20 GPU accelerator and speed up your application by up to 10X.

SMX design SMX (streaming multiprocessor) design delivers up to 3x more performance per watt compared to the SM in Fermi*. It also delivers one petaflop of computing in just ten server racks. (*Based on DGEMM performance: Tesla M2090 = 410 gigaflops, Tesla K20 (expected) > 1000 gigaflops)
Dynamic Parallelism capability Dynamic Parallelism capability enables GPU threads to automatically spawn new threads. By adapting to the data without going back to the CPU, it greatly simplifies parallel programming. Plus it enables GPU acceleration of a broader set of popular algorithms, like adaptive mesh refinement (AMR), fast multipole method (FMM), and multigrid methods.
Hyper-Q Hyper-Q feature enables multiple CPU cores to simultaneously utilize the CUDA cores on a single Kepler GPU. This dramatically increases GPU utilization, slashes CPU idle times, and advances programmability—ideal for cluster applications that use MPI.
ECC memory error protection Meets a critical requirement for computing accuracy and reliability in data centers and supercomputing centers. Both external and internal memories are ECC protected in Tesla K20 and K20X.
L1 and L2 caches Accelerates algorithms such as physics solvers, ray-tracing, and sparse matrix multiplication where data addresses are not known beforehand.
Asynchronous transfer with dual DMA engines Turbocharges system performance by transferring data over the PCIe bus while the computing cores are crunching other data.

Learn more about the NVIDIA TESLA K20 (900-22081-2220-000)

General

Brand: NVIDIA

Model: TESLA K20 (900-22081-2220-000)

Interface

Interface: PCI Express 2.0 x16

Chipset

Chipset Manufacturer: NVIDIA

GPU: GK110

Core Clock: 706MHz

CUDA Cores: 2496

Memory

Memory Clock: 2.6GHz

Memory Size: 5GB

Memory Interface: 320-bit

Memory Type: GDDR5

Spec

Cooler: Passive heat sink

System Requirements: Board power: 225W
Idle power: 25W

Auxiliary Power Connector: 6 Pin / 8 Pin

Features

Features: Tesla K20 GPU Accelerator - Designed to be the performance leader in double precision applications and the broader supercomputing market, the Tesla K20 GPU Accelerator features a single GK110 Kepler GPU that includes the Dynamic Parallelism and Hyper-Q features. With more than one teraflop peak double precision performance, this GPU Accelerator is ideal for the most aggressive high-performance computing workloads including climate and weather modeling, CFD, CAE, computational physics, biochemistry simulations, and computational finance.

Architecture features: SMX, Dynamic Parallelism, Hyper-Q

Peak double precision floating point performance (board): 1.17 Tflops

Peak single precision floating point performance (board): 3.52 Tflops

Memory bandwidth (ECC off): 208 GB/sec

Quick Info

Warranty

Limited Warranty period (parts): 3 years
Limited Warranty period (labor): 3 years

Manufacturer Contact Info

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